Designing Machine Learning Systems by Chip Huyen (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 55546 R1 0579
- Number of Pages: 389
Rs.990.00
Rs.1,295.00
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📘 Title Name: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
📖 Edition: 1st Edition
✍️ Author: Chip Huyen
📦 Quality: White Paper – Pakistan Print
🔹 Introduction:
Designing Machine Learning Systems by Chip Huyen is a practical and industry-focused guide for building, deploying, and maintaining real-world machine learning applications. Instead of focusing only on models, the book emphasizes the entire ML lifecycle — from data collection and training to deployment, monitoring, and continuous improvement — making it essential for engineers working in production environments.
🔑 Key Points:
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Explains the end-to-end machine learning system design process used in real companies.
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Focuses on data pipelines, model deployment, monitoring, and system scalability.
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Introduces an iterative approach to improving ML systems over time.
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Covers challenges like data drift, model decay, and system reliability.
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Ideal for ML engineers, data scientists, and software engineers building production ML.
🧠 Conclusion:
Chip Huyen’s Designing Machine Learning Systems is a must-read for anyone serious about deploying machine learning in production. With real-world insights and clear explanations, the book bridges the gap between theory and practice, helping teams build robust, scalable, and maintainable ML systems.
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